Mitotic Chromosome Binding Predicts Transcription Factor Properties in Interphase

Total Page:16

File Type:pdf, Size:1020Kb

Mitotic Chromosome Binding Predicts Transcription Factor Properties in Interphase bioRxiv preprint doi: https://doi.org/10.1101/404723; this version posted August 31, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Mitotic chromosome binding predicts transcription factor properties in interphase Authors: Mahé Raccaud1, Andrea B. Alber1,2, Elias T. Friman1,2, Harsha Agarwal3, Cédric Deluz1, Timo Kuhn3, J. Christof M. Gebhardt3 and David M. Suter1,4 Affiliations: 1Institute of Bioengineering, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, CH-1015, Switzerland 2These authors contributed equally 3Institute of Biophysics, Ulm University, Albert-Einstein-Allee 11, Ulm 89081, Germany 4Lead contact Corresponding author: David M. Suter ([email protected]) Summary Mammalian transcription factors (TFs) differ broadly in their nuclear mobility and sequence- specific/non-specific DNA binding affinity. How these properties affect the ability of TFs to occupy their specific binding sites in the genome and modify the epigenetic landscape is unclear. Here we combined live cell quantitative measurements of mitotic chromosome binding (MCB) of 502 TFs, measurements of TF mobility by fluorescence recovery after photobleaching, single molecule imaging of DNA binding in live cells, and genome-wide mapping of TF binding and chromatin accessibility. MCB scaled with interphase properties such as association with DNA-rich compartments, mobility, as well as large differences in genome-wide specific site occupancy that correlated with TF impact on chromatin accessibility. As MCB is largely mediated by electrostatic, non-specific TF-DNA interactions, our data suggests that non-specific DNA binding of TFs enhances their search for specific sites and thereby their impact on the accessible chromatin landscape. Keywords: transcription factors; mitotic chromosome binding; non-specific DNA binding; specific DNA binding; transcription factor search efficiency; transcription factor occupancy; chromatin accessibility 1 bioRxiv preprint doi: https://doi.org/10.1101/404723; this version posted August 31, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Introduction Transcription factors (TFs) are central players in the regulation of gene expression. Each TF binds to specific regulatory sequences to regulate transcription of target genes. The ability of TFs to occupy their specific sites in the genome depends on their nuclear concentration, their ability to search the genome and the chromatin environment of their binding sites. TFs search the genome both by 3D diffusion and by facilitated diffusion using local 1D search mediated by sliding, hopping and intersegment transfer (Dror et al., 2016; Hu et al., 2008; Marklund et al., 2013; Subekti et al., 2017; Takayama and Clore, 2011; Vuzman et al., 2010). These local interactions can strongly modulate search efficiency and mainly depend on transient non-specific protein-DNA association (Berg et al., 1981; Hettich and Gebhardt, 2018; von Hippel and Berg, 1989; von Hippel et al., 1974; Winter et al., 1981), which are essentially mediated by electrostatic interactions (Matthew and Ohlendorf, 1985; Takeda et al., 1986; Kenar et al., 1995; Kalodimos et al., 2004; Barbi and Paillusson, 2013; Vuzman and Levy, 2010; Desjardins et al., 2016; Vo et al., 2017). However, non- specific DNA binding of most TFs remains uncharacterized, and thus to which extent this property impacts genome-wide occupancy of TFs is unknown. A minority of TFs were shown to physically associate with mitotic chromosomes (Raccaud and Suter, 2017). These interactions can be identified by ChIP-seq on purified mitotic cells and co- localization analysis of TFs with mitotic DNA using fluorescence microscopy. While ChIP-seq essentially identifies sequence-specific DNA binding, fluorescence microscopy allows to quantify the association of TFs with mitotic chromosomes independently of their enrichment on specific genomic sites (Raccaud and Suter, 2017). Both non-specific and specific DNA binding of TFs to mitotic chromosomes have been described. However, the often small number of specifically-bound loci on mitotic chromosomes (Caravaca et al., 2013; Deluz et al., 2016; Festuccia et al., 2018; Kadauke et al., 2012), the mild or null sensitivity to alterations of specific DNA binding properties (Caravaca et al., 2013; Festuccia et al., 2016), and the absence of quantitative relationship between mitotic ChIP- seq datasets and fluorescence microscopy (Festuccia et al., 2018) suggest that the co-localization of TFs with mitotic chromosomes observed by microscopy is mainly due to non-specific DNA interactions. Converging evidence from the literature further corroborates this view. SOX2 and FOXA1 are strongly associated with mitotic chromosomes (Caravaca et al., 2013; Deluz et al., 2016), and these also display high non-specific affinity for DNA in vitro (Sekiya et al., 2009; Soufi et al., 2015). In contrast, OCT4 displays less visible association with mitotic chromosomes (Deluz et al., 2016), and has low non-specific affinity for DNA in vitro (Soufi et al., 2015). Finally, FOXA1 mutants with decreased non-specific DNA affinity but retaining their specificity for the FOXA1 motif also display reduced mitotic chromosome association (Caravaca et al., 2013). Many TFs binding to mitotic chromosomes also display pioneer properties (Caravaca et al., 2013; Kadauke et al., 2012; Soufi et al., 2012; Zaret, 2014), i.e. they are able to bind and open condensed 2 bioRxiv preprint doi: https://doi.org/10.1101/404723; this version posted August 31, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. chromatin regions, allowing them to rewire gene expression programs to mediate cell fate decisions. However, the existence of a common molecular mechanism underlying mitotic chromosome binding and pioneer activity remains uncertain. Here we measured mitotic chromosome binding (MCB) of 502 mouse TFs in live mouse embryonic stem (ES) cells. We show that MCB is predictive of interphase TF properties such as sub-nuclear localization, mobility, and of the large differences in TF ability to occupy specific genomic sites. We propose that the co-localization of TFs with mitotic chromosomes is a proxy for TF non-specific DNA binding properties, which regulate TF search efficiency for their specific binding sites and thereby their impact on chromatin accessibility. Results Large-scale quantification of TF association to mitotic chromosomes To measure mitotic chromosome binding for a large number of TFs, we constructed a doxycycline (dox)-inducible lentiviral vector library of 757 mouse TFs fused to a yellow fluorescent protein (YPet) (Figure 1A). This library was used to generate a corresponding library of mouse embryonic stem (ES) cell lines to quantify TF association to mitotic chromosomes by live cell fluorescence microscopy. One day before imaging, cells were seeded in 96-well plates and treated with dox to induce the expression of TF-YPet fusion proteins. Cells were maintained in ES cell proliferation medium and imaged by wide-field fluorescence microscopy. We used a semi-automated pipeline to detect cells in metaphase, which allows for easy quantification of mitotic chromosome binding since chromosomes are most spatially confined in this phase. Of note, we did not observe any obvious differences in co-localization of TFs with mitotic chromosomes between prophase, metaphase and anaphase. We used the Mitotic Bound Fraction (MBF) as a metric for mitotic chromosome binding, defined as the averaged YPet fluorescence intensity on metaphase chromosomes multiplied by the fraction of cellular volume occupied by DNA (as measured by confocal microscopy, see STAR Methods), divided by the total YPet signal (Figure 1A). The reliability of wide-field fluorescence measurements was confirmed by their correlation with those performed by confocal microscopy (Figure S1A-B, Table S1). In total 502 TFs yielded a sufficiently strong fluorescent signal in metaphase to allow measuring their MBF, and for 94% of these we could measure the MBF in at least 10 cells (see STAR methods). We defined three bins of TFs based on visual inspection of the YPet signal in the area occupied by metaphase chromosomes: depleted (YPet signal lower than in the cytoplasm), intermediate (YPet signal equal to that of the cytoplasm) or enriched (YPet signal higher than in the cytoplasm), which corresponded to MBFs < 16.5%, 16.5-23% and >23%, respectively. 24% of TFs fell in the “depleted” bin, 54% in the “intermediate” bin, and 22% in the “enriched” bin (Figure 1B). Most TFs previously reported to be highly enriched on mitotic chromosomes and present in our library, such as FOXA1 (Caravaca et al., 2013), GATA1 (Kadauke 3 bioRxiv preprint doi: https://doi.org/10.1101/404723; this version posted August 31, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. et al., 2012), GATA4 (Caravaca et al., 2013), SOX2 (Deluz et al., 2016; Teves et al., 2016), RUNX2 (Young et al., 2007), ESRRB (Festuccia et al., 2016), RBPJ (Lake et al., 2014) and HNF1b (Verdeguer et al., 2010), fell in the “enriched” category (Table S2), suggesting that
Recommended publications
  • Multivariate Analysis Reveals Genetic Associations of the Resting Default
    Multivariate analysis reveals genetic associations of PNAS PLUS the resting default mode network in psychotic bipolar disorder and schizophrenia Shashwath A. Medaa,1, Gualberto Ruañob,c, Andreas Windemuthb, Kasey O’Neila, Clifton Berwisea, Sabra M. Dunna, Leah E. Boccaccioa, Balaji Narayanana, Mohan Kocherlab, Emma Sprootena, Matcheri S. Keshavand, Carol A. Tammingae, John A. Sweeneye, Brett A. Clementzf, Vince D. Calhoung,h,i, and Godfrey D. Pearlsona,h,j aOlin Neuropsychiatry Research Center, Institute of Living at Hartford Hospital, Hartford, CT 06102; bGenomas Inc., Hartford, CT 06102; cGenetics Research Center, Hartford Hospital, Hartford, CT 06102; dDepartment of Psychiatry, Beth Israel Deaconess Hospital, Harvard Medical School, Boston, MA 02215; eDepartment of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX 75390; fDepartment of Psychology, University of Georgia, Athens, GA 30602; gThe Mind Research Network, Albuquerque, NM 87106; Departments of hPsychiatry and jNeurobiology, Yale University, New Haven, CT 06520; and iDepartment of Electrical and Computer Engineering, The University of New Mexico, Albuquerque, NM 87106 Edited by Robert Desimone, Massachusetts Institute of Technology, Cambridge, MA, and approved April 4, 2014 (received for review July 15, 2013) The brain’s default mode network (DMN) is highly heritable and is Although risk for psychotic illnesses is driven in small part by compromised in a variety of psychiatric disorders. However, ge- highly penetrant, often private mutations such as copy number netic control over the DMN in schizophrenia (SZ) and psychotic variants, substantial risk also is likely conferred by multiple genes bipolar disorder (PBP) is largely unknown. Study subjects (n = of small effect sizes interacting together (7). According to the 1,305) underwent a resting-state functional MRI scan and were “common disease common variant” (CDCV) model, one would analyzed by a two-stage approach.
    [Show full text]
  • Supplementary Materials
    Supplementary materials Supplementary Table S1: MGNC compound library Ingredien Molecule Caco- Mol ID MW AlogP OB (%) BBB DL FASA- HL t Name Name 2 shengdi MOL012254 campesterol 400.8 7.63 37.58 1.34 0.98 0.7 0.21 20.2 shengdi MOL000519 coniferin 314.4 3.16 31.11 0.42 -0.2 0.3 0.27 74.6 beta- shengdi MOL000359 414.8 8.08 36.91 1.32 0.99 0.8 0.23 20.2 sitosterol pachymic shengdi MOL000289 528.9 6.54 33.63 0.1 -0.6 0.8 0 9.27 acid Poricoic acid shengdi MOL000291 484.7 5.64 30.52 -0.08 -0.9 0.8 0 8.67 B Chrysanthem shengdi MOL004492 585 8.24 38.72 0.51 -1 0.6 0.3 17.5 axanthin 20- shengdi MOL011455 Hexadecano 418.6 1.91 32.7 -0.24 -0.4 0.7 0.29 104 ylingenol huanglian MOL001454 berberine 336.4 3.45 36.86 1.24 0.57 0.8 0.19 6.57 huanglian MOL013352 Obacunone 454.6 2.68 43.29 0.01 -0.4 0.8 0.31 -13 huanglian MOL002894 berberrubine 322.4 3.2 35.74 1.07 0.17 0.7 0.24 6.46 huanglian MOL002897 epiberberine 336.4 3.45 43.09 1.17 0.4 0.8 0.19 6.1 huanglian MOL002903 (R)-Canadine 339.4 3.4 55.37 1.04 0.57 0.8 0.2 6.41 huanglian MOL002904 Berlambine 351.4 2.49 36.68 0.97 0.17 0.8 0.28 7.33 Corchorosid huanglian MOL002907 404.6 1.34 105 -0.91 -1.3 0.8 0.29 6.68 e A_qt Magnogrand huanglian MOL000622 266.4 1.18 63.71 0.02 -0.2 0.2 0.3 3.17 iolide huanglian MOL000762 Palmidin A 510.5 4.52 35.36 -0.38 -1.5 0.7 0.39 33.2 huanglian MOL000785 palmatine 352.4 3.65 64.6 1.33 0.37 0.7 0.13 2.25 huanglian MOL000098 quercetin 302.3 1.5 46.43 0.05 -0.8 0.3 0.38 14.4 huanglian MOL001458 coptisine 320.3 3.25 30.67 1.21 0.32 0.9 0.26 9.33 huanglian MOL002668 Worenine
    [Show full text]
  • HOMER2 (NM 199330) Human Tagged ORF Clone – RC223154L4
    OriGene Technologies, Inc. 9620 Medical Center Drive, Ste 200 Rockville, MD 20850, US Phone: +1-888-267-4436 [email protected] EU: [email protected] CN: [email protected] Product datasheet for RC223154L4 HOMER2 (NM_199330) Human Tagged ORF Clone Product data: Product Type: Expression Plasmids Product Name: HOMER2 (NM_199330) Human Tagged ORF Clone Tag: mGFP Symbol: HOMER2 Synonyms: ACPD; CPD; DFNA68; HOMER-2; VESL-2 Vector: pLenti-C-mGFP-P2A-Puro (PS100093) E. coli Selection: Chloramphenicol (34 ug/mL) Cell Selection: Puromycin ORF Nucleotide The ORF insert of this clone is exactly the same as(RC223154). Sequence: Restriction Sites: SgfI-MluI Cloning Scheme: ACCN: NM_199330 ORF Size: 1062 bp This product is to be used for laboratory only. Not for diagnostic or therapeutic use. View online » ©2021 OriGene Technologies, Inc., 9620 Medical Center Drive, Ste 200, Rockville, MD 20850, US 1 / 2 HOMER2 (NM_199330) Human Tagged ORF Clone – RC223154L4 OTI Disclaimer: The molecular sequence of this clone aligns with the gene accession number as a point of reference only. However, individual transcript sequences of the same gene can differ through naturally occurring variations (e.g. polymorphisms), each with its own valid existence. This clone is substantially in agreement with the reference, but a complete review of all prevailing variants is recommended prior to use. More info OTI Annotation: This clone was engineered to express the complete ORF with an expression tag. Expression varies depending on the nature of the gene. RefSeq: NM_199330.1 RefSeq Size: 2005 bp RefSeq ORF: 1065 bp Locus ID: 9455 UniProt ID: Q9NSB8 Protein Families: Druggable Genome MW: 40.4 kDa Gene Summary: This gene encodes a member of the homer family of dendritic proteins.
    [Show full text]
  • HOMER2, a Stereociliary Scaffolding Protein, Is Essential for Normal Hearing in Humans and Mice
    RESEARCH ARTICLE HOMER2, a Stereociliary Scaffolding Protein, Is Essential for Normal Hearing in Humans and Mice Hela Azaiez1, Amanda R. Decker2☯, Kevin T. Booth1☯, Allen C. Simpson1☯, A. Eliot Shearer1, Patrick L. M. Huygen3, Fengxiao Bu1, Michael S. Hildebrand4, Paul T. Ranum1, Seiji B. Shibata1, Ann Turner5, Yuzhou Zhang1, William J. Kimberling1, Robert A. Cornell2, Richard J. H. Smith1,6* 1 Molecular Otolaryngology and Renal Research Laboratories, Department of Otolaryngology University of a11111 Iowa, Iowa City, Iowa, United States of America, 2 Department of Anatomy and Cell Biology, Carver College of Medicine, University of Iowa, Iowa City, Iowa, United States of America, 3 Department of Otorhinolaryngology, Radboud University Nijmegen Medical Centre, Nijmegen, Netherlands, 4 Austin Health, Department of Medicine, University of Melbourne, Melbourne, Australia, 5 Self-employed physician, Menlo Park, California, United States of America, 6 Interdepartmental PhD Program in Genetics, University of Iowa, Iowa City, Iowa, United States of America ☯ These authors contributed equally to this work. OPEN ACCESS * [email protected] Citation: Azaiez H, Decker AR, Booth KT, Simpson AC, Shearer AE, Huygen PLM, et al. (2015) HOMER2, a Stereociliary Scaffolding Protein, Is Abstract Essential for Normal Hearing in Humans and Mice. PLoS Genet 11(3): e1005137. doi:10.1371/journal. Hereditary hearing loss is a clinically and genetically heterogeneous disorder. More than 80 pgen.1005137 genes have been implicated to date, and with the advent of targeted genomic enrichment Editor: Karen B. Avraham, Tel Aviv University, and massively parallel sequencing (TGE+MPS) the rate of novel deafness-gene identifica- ISRAEL tion has accelerated. Here we report a family segregating post-lingual progressive autoso- Received: January 19, 2015 mal dominant non-syndromic hearing loss (ADNSHL).
    [Show full text]
  • Homer1 Promotes Dendritic Spine Growth Through Ankyrin-G and Its Loss Reshapes the Synaptic Proteome
    Molecular Psychiatry (2021) 26:1775–1789 https://doi.org/10.1038/s41380-020-00991-1 ARTICLE Homer1 promotes dendritic spine growth through ankyrin-G and its loss reshapes the synaptic proteome 1 1 2 1,5 2 Sehyoun Yoon ● Nicolas H. Piguel ● Natalia Khalatyan ● Leonardo E. Dionisio ● Jeffrey N. Savas ● Peter Penzes 1,3,4 Received: 22 February 2020 / Revised: 24 November 2020 / Accepted: 7 December 2020 / Published online: 4 January 2021 © The Author(s), under exclusive licence to Springer Nature Limited part of Springer Nature 2021. This article is published with open access Abstract Homer1 is a synaptic scaffold protein that regulates glutamatergic synapses and spine morphogenesis. HOMER1 knockout (KO) mice show behavioral abnormalities related to psychiatric disorders, and HOMER1 has been associated with psychiatric disorders such as addiction, autism disorder (ASD), schizophrenia (SZ), and depression. However, the mechanisms by which it promotes spine stability and its global function in maintaining the synaptic proteome has not yet been fully investigated. Here, we used computational approaches to identify global functions for proteins containing the Homer1-interacting PPXXF motif within the postsynaptic compartment. Ankyrin-G was one of the most topologically important nodes in the postsynaptic peripheral 1234567890();,: 1234567890();,: membrane subnetwork, and we show that one of the PPXXF motifs, present in the postsynaptically-enriched 190 kDa isoform of ankyrin-G (ankyrin-G 190), is recognized by the EVH1 domain of Homer1. We use proximity ligation combined with super- resolution microscopy to map the interaction of ankyrin-G and Homer1 to distinct nanodomains within the spine head and correlate them with spine head size.
    [Show full text]
  • Systematic Elucidation of Neuron-Astrocyte Interaction in Models of Amyotrophic Lateral Sclerosis Using Multi-Modal Integrated Bioinformatics Workflow
    ARTICLE https://doi.org/10.1038/s41467-020-19177-y OPEN Systematic elucidation of neuron-astrocyte interaction in models of amyotrophic lateral sclerosis using multi-modal integrated bioinformatics workflow Vartika Mishra et al.# 1234567890():,; Cell-to-cell communications are critical determinants of pathophysiological phenotypes, but methodologies for their systematic elucidation are lacking. Herein, we propose an approach for the Systematic Elucidation and Assessment of Regulatory Cell-to-cell Interaction Net- works (SEARCHIN) to identify ligand-mediated interactions between distinct cellular com- partments. To test this approach, we selected a model of amyotrophic lateral sclerosis (ALS), in which astrocytes expressing mutant superoxide dismutase-1 (mutSOD1) kill wild-type motor neurons (MNs) by an unknown mechanism. Our integrative analysis that combines proteomics and regulatory network analysis infers the interaction between astrocyte-released amyloid precursor protein (APP) and death receptor-6 (DR6) on MNs as the top predicted ligand-receptor pair. The inferred deleterious role of APP and DR6 is confirmed in vitro in models of ALS. Moreover, the DR6 knockdown in MNs of transgenic mutSOD1 mice attenuates the ALS-like phenotype. Our results support the usefulness of integrative, systems biology approach to gain insights into complex neurobiological disease processes as in ALS and posit that the proposed methodology is not restricted to this biological context and could be used in a variety of other non-cell-autonomous communication
    [Show full text]
  • A Novel Truncating Mutation in HOMER2 Causes Nonsyndromic Progressive DFNA68 Hearing Loss in a Spanish Family
    G C A T T A C G G C A T genes Article A Novel Truncating Mutation in HOMER2 Causes Nonsyndromic Progressive DFNA68 Hearing Loss in a Spanish Family María Lachgar 1,2,† , Matías Morín 1,2,† , Manuela Villamar 1,2, Ignacio del Castillo 1,2 and Miguel Ángel Moreno-Pelayo 1,2,* 1 Servicio de Genética, Hospital Universitario Ramón y Cajal, IRYCIS, Carretera de Colmenar km 9.100, 28034 Madrid, Spain; [email protected] (M.L.); [email protected] (M.M.); [email protected] (M.V.); [email protected] (I.d.C.) 2 Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), 28034 Madrid, Spain * Correspondence: [email protected] † These authors have contributed equally to this work. Abstract: Nonsyndromic hereditary hearing loss is a common sensory defect in humans that is clinically and genetically highly heterogeneous. So far, 122 genes have been associated with this disorder and 50 of them have been linked to autosomal dominant (DFNA) forms like DFNA68, a rare subtype of hearing impairment caused by disruption of a stereociliary scaffolding protein (HOMER2) that is essential for normal hearing in humans and mice. In this study, we report a novel HOMER2 variant (c.832_836delCCTCA) identified in a Spanish family by using a custom NGS targeted gene panel (OTO-NGS-v2). This frameshift mutation produces a premature stop codon that may lead in the absence of NMD to a shorter variant (p.Pro278Alafs*10) that truncates HOMER2 at the CDC42 binding domain (CBD) of the coiled-coil structure, a region that is essential Citation: Lachgar, M.; Morín, M.; for protein multimerization and HOMER2-CDC42 interaction.
    [Show full text]
  • An Expanded Proteome of Cardiac T-Tubules☆
    Cardiovascular Pathology 42 (2019) 15–20 Contents lists available at ScienceDirect Cardiovascular Pathology Original Article An expanded proteome of cardiac t-tubules☆ Jenice X. Cheah, Tim O. Nieuwenhuis, Marc K. Halushka ⁎ Department of Pathology, Division of Cardiovascular Pathology, Johns Hopkins University SOM, Baltimore, MD, USA article info abstract Article history: Background: Transverse tubules (t-tubules) are important structural elements, derived from sarcolemma, found Received 27 February 2019 on all striated myocytes. These specialized organelles create a scaffold for many proteins crucial to the effective Received in revised form 29 April 2019 propagation of signal in cardiac excitation–contraction coupling. The full protein composition of this region is un- Accepted 17 May 2019 known. Methods: We characterized the t-tubule subproteome using 52,033 immunohistochemical images covering Keywords: 13,203 proteins from the Human Protein Atlas (HPA) cardiac tissue microarrays. We used HPASubC, a suite of Py- T-tubule fi Proteomics thon tools, to rapidly review and classify each image for a speci c t-tubule staining pattern. The tools Gene Cards, Caveolin String 11, and Gene Ontology Consortium as well as literature searches were used to understand pathways and relationships between the proteins. Results: There were 96 likely t-tubule proteins identified by HPASubC. Of these, 12 were matrisome proteins and 3 were mitochondrial proteins. A separate literature search identified 50 known t-tubule proteins. A comparison of the 2 lists revealed only 17 proteins in common, including 8 of the matrisome proteins. String11 revealed that 94 of 127 combined t-tubule proteins generated a single interconnected network. Conclusion: Using HPASubC and the HPA, we identified 78 novel, putative t-tubule proteins and validated 17 within the literature.
    [Show full text]
  • Proceedings of the International Workshop On
    INTERNATIONAL WORKSHOP 115 PROCEEDINGS OF THE INTERNATIONAL WORKSHOP ON “CALCIUM RELEASE AND CELLULAR CALCIUM SIGNALLING DOMAINS” MARBELLA, CHILE, SEPTEMBER 28 - OCTOBER 2, 2003 Organized by FONDAP Center for Molecular Studies of the Cell, Facultad de Medicina. Universidad de Chile CECILIA HIDALGO, EDITOR 116 INTERNATIONAL WORKSHOP INTERNATIONAL WORKSHOP 117 Biol Res 37: ???-???, 2004 BR INTERNATIONAL WORKSHOP “CALCIUM RELEASE AND CELLULAR CALCIUM SIGNALLING DOMAINS” MARBELLA, CHILE, SEPTEMBER 28-OCTOBER 2, 2003 PROGRAM Sunday, Sept. 28 Chair: Susan Hamilton Paul Allen (USA). Structure Function Studies of Opening lecture: Ernesto Carafoli (Italy) Calcium RyR1 signalling, a historical perspective Colin Taylor (UK). Structure and regulation of InsP3 receptors Chair: Cecilia Hidalgo Roberto Coronado (USA). Functional interactions between dihydropyridine and Monday, Sept. 29 - FIRST TOPIC: CALCIUM ryanodine receptors in skeletal muscle RELEASE CHANNELS Kurt Beam (USA). Arrangement of proteins involved in excitation-contraction coupling as Session 1: Calcium Release Channels (RyR and analyzed by FRET InsP3-gated channels). Structural aspects and Hector Valdivia (USA). Modulation of single channel studies cardiac ryanodine receptors by sorcin, a novel regulator of excitation-contraction coupling Chair: Barbara Ehrlich Humbert De Smedt (Belgium). InsP3- Clara Franzini-Armstrong (USA). The induced Ca2+ release and Calmodulin junctional supramolecular complex Susan Hamilton (USA) RYR1 Phosphorylation POSTER SESSION 2 by PKA and the role of FKBP12
    [Show full text]
  • Imbalances in Prefrontal Cortex CC-Homer1 Versus CC-Homer2 Expression Promote Cocaine Preference
    The Journal of Neuroscience, May 8, 2013 • 33(19):8101–8113 • 8101 Behavioral/Cognitive Imbalances in Prefrontal Cortex CC-Homer1 versus CC-Homer2 Expression Promote Cocaine Preference Alexis W. Ary,1 Kevin D. Lominac,1 Melissa G. Wroten,1 Amy R. Williams,1 Rianne R. Campbell,1 Osnat Ben-Shahar,1 Georg von Jonquieres,2 Matthias Klugmann,2 and Karen K. Szumlinski1 1Department of Psychological and Brain Sciences and the Neuroscience Research Institute, University of California at Santa Barbara, Santa Barbara, California 93106-9660, and 2Translational Neuroscience Facility, School of Medical Sciences, University of New South Wales, Sydney, New South Wales 2052, Australia Homer postsynaptic scaffolding proteins regulate forebrain glutamate transmission and thus, are likely molecular candidates mediating hypofrontality in addiction. Protracted withdrawal from cocaine experience increases the relative expression of Homer2 versus Homer1 isoforms within medial prefrontal cortex (mPFC). Thus, this study used virus-mediated gene transfer strategies to investigate the functional relevance of an imbalance in mPFC Homer1/2 expression as it relates to various measures of sensorimotor, cognitive, emotional and motivational processing, as well as accompanying alterations in extracellular glutamate in C57BL/6J mice. mPFC Homer2b overexpression elevated basal glutamate content and blunted cocaine-induced glutamate release within the mPFC, whereas Homer2b knockdown produced the opposite effects. Despite altering mPFC glutamate, Homer2b knockdown failed to influence cocaine-elicited conditioned place preferences, nor did it produce consistent effects on any other behavioral measures. In contrast, elevating the relative expression of Homer2b versus Homer1 within mPFC, by overexpressing Homer2b or knocking down Homer1c, shifted the dose-response function for cocaine-conditioned reward to the left, without affecting cocaine locomotion or sensitization.
    [Show full text]
  • HOMER2 (NM 199331) Human Tagged ORF Clone Lentiviral Particle Product Data
    OriGene Technologies, Inc. 9620 Medical Center Drive, Ste 200 Rockville, MD 20850, US Phone: +1-888-267-4436 [email protected] EU: [email protected] CN: [email protected] Product datasheet for RC214311L4V HOMER2 (NM_199331) Human Tagged ORF Clone Lentiviral Particle Product data: Product Type: Lentiviral Particles Product Name: HOMER2 (NM_199331) Human Tagged ORF Clone Lentiviral Particle Symbol: HOMER2 Synonyms: ACPD; CPD; HOMER-2; HOMER2A; HOMER2B; Vesl-2 Vector: pLenti-C-mGFP-P2A-Puro (PS100093) ACCN: NM_199331 ORF Size: 864 bp ORF Nucleotide The ORF insert of this clone is exactly the same as(RC214311). Sequence: OTI Disclaimer: The molecular sequence of this clone aligns with the gene accession number as a point of reference only. However, individual transcript sequences of the same gene can differ through naturally occurring variations (e.g. polymorphisms), each with its own valid existence. This clone is substantially in agreement with the reference, but a complete review of all prevailing variants is recommended prior to use. More info OTI Annotation: This clone was engineered to express the complete ORF with an expression tag. Expression varies depending on the nature of the gene. RefSeq: NM_199331.2, NP_955363.2 RefSeq Size: 1807 bp RefSeq ORF: 866 bp Locus ID: 9455 Protein Families: Druggable Genome MW: 32.7 kDa Gene Summary: This gene encodes a member of the homer family of dendritic proteins. Members of this family regulate group 1 metabotrophic glutamate receptor function. The encoded protein is a postsynaptic density scaffolding protein. Alternative splicing results in multiple transcript variants. Two related pseudogenes have been identified on chromosome 14.
    [Show full text]
  • Analyzing the Mirna-Gene Networks to Mine the Important Mirnas Under Skin of Human and Mouse
    Hindawi Publishing Corporation BioMed Research International Volume 2016, Article ID 5469371, 9 pages http://dx.doi.org/10.1155/2016/5469371 Research Article Analyzing the miRNA-Gene Networks to Mine the Important miRNAs under Skin of Human and Mouse Jianghong Wu,1,2,3,4,5 Husile Gong,1,2 Yongsheng Bai,5,6 and Wenguang Zhang1 1 College of Animal Science, Inner Mongolia Agricultural University, Hohhot 010018, China 2Inner Mongolia Academy of Agricultural & Animal Husbandry Sciences, Hohhot 010031, China 3Inner Mongolia Prataculture Research Center, Chinese Academy of Science, Hohhot 010031, China 4State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China 5Department of Biology, Indiana State University, Terre Haute, IN 47809, USA 6The Center for Genomic Advocacy, Indiana State University, Terre Haute, IN 47809, USA Correspondence should be addressed to Yongsheng Bai; [email protected] and Wenguang Zhang; [email protected] Received 11 April 2016; Revised 15 July 2016; Accepted 27 July 2016 Academic Editor: Nicola Cirillo Copyright © 2016 Jianghong Wu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Genetic networks provide new mechanistic insights into the diversity of species morphology. In this study, we have integrated the MGI, GEO, and miRNA database to analyze the genetic regulatory networks under morphology difference of integument of humans and mice. We found that the gene expression network in the skin is highly divergent between human and mouse.
    [Show full text]